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Cluster analysis is usually the first step adopted to unveil information from gene expression microarray data. Besides selecting a clustering algorithm, choosing an appropriate proximity measure (similarity or distance) is of great importance to achieve satisfactory clustering results. Nevertheless, up to date, there are no comprehensive guidelines concerning how to choose proximity measures for clustering...
Flow focusing devices (FFDs), with dimensions smaller than 100 mum have recently been used for cell encapsulation. However, encapsulation of larger clusters of cells, like islets of Langerhans, is of considerable interest. Producing larger capsules requires larger FFDs. We focus here on the geometrical scaling-up between a small FFD (50 mum) and a larger one (100 mum, 200 mum, 1 mm). We determine...
Performance is a main issue in parallel application development. Dynamic tuning is a technique that acts over application parameters to raise execution performance indexes. To perform that, it is necessary to collect measurements, analyze application behavior using a performance model and carry out tuning actions. Computational Grids present proclivity for dynamic changes on their features during...
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